How We’re Actually Thinking About AI Search Visibility Right Now
This keeps coming up.
Clients, partners, even internally:
“How are we supposed to track AI search?”
And the honest answer is… most people are overthinking it.
There’s no clean dashboard for this. There’s no toggle in GA4 that suddenly shows you “AI visibility.” We’re all waiting for that to happen, but the reality is , we don’t think anything exists yet to support this need.
So instead of trying to force something that isn’t there, we’ve been building this out based on what we can see, and what’s already working.
This Isn’t a Future Problem
Search behavior is already shifting. You can feel it.
People still Google things, sure. But they’re also asking questions directly in ChatGPT, Bing, and everywhere else.
And those answers are being pulled from the same web your site is already part of.
So if your content isn’t showing up there, it’s not because AI is “new.” It’s because you’re not visible in the places that feed it.
That’s the shift.
Why Most SEO Reporting Falls Short
Most SEO reporting is still stuck in the same loop such as rankings, traffic and conversions.
These are all useful, but this does not tell you what’s happening in AI.
There’s no report that can directly answer the question how often our site is influencing AI-generated answers.
If you’re relying on standard reports, then you’re missing part of the picture. Not because your data is bad, but because it’s incomplete.
Where We Actually Start
We don’t start with tools - we start with what’s already happening. And try to answer the questions:
- What queries are driving impressions?
- What pages are already getting visibility?
- Where are we showing up today?
And the information comes from:
Google Search Console
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Microsoft Bing Webmaster Tools
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Google Analytics 4
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Nothing fancy and most teams skip this because it feels too basic. That’s a mistake because if you don’t understand what’s already working, everything else is just guesswork.
Then We Expand (And This Part Isn’t Clean)
After that, we go outside our own data.
Yes, we’ll use SEMrush or Ahrefs. But honestly, a lot of this is just manual work.
We search. We test queries. We look at what ChatGPT returns. We compare.
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Who’s showing up?
What kind of answers are being generated?
How are things being phrased?
It’s not elegant. But it’s real.
The Dashboard Comes Last
This is where I see people waste the most time.
They jump straight into Data Studio and start building something that looks impressive.
But they haven’t defined what they’re measuring yet.
We don’t touch Data Studio until:
- we know which queries matter
- we know what data we trust
- we know what we’re trying to answer
Then we build.
And even then, it’s simple:
- Search Console (Google + Bing)
- GA4
- filtered keyword sets
That’s it. To make this easier to visualize, I’m also sharing a simplified AI Search Visibility dashboard template you can copy and adapt yourself. It’s intentionally lightweight and built around trusted first-party data, conversational search patterns, and curated query sets - not vanity SEO reporting.
What We’re Actually Watching
We’re just paying attention to what matters:
- impressions
- clicks
- traffic
- trends over time
If something moves, we look into it. If it doesn’t, we adjust.
You don’t need more than that right now.
Where Most People Mess This Up
It’s usually the same pattern:
- building dashboards too early
- trying to track “AI traffic” without defining it
- ignoring Bing completely
- relying too heavily on GA4
We’ve made some of these mistakes too. It doesn’t work.
Final Thought
This isn’t about chasing AI as a trend.
It’s just about paying attention to where visibility is shifting.
Same fundamentals. Different layers.
If you stay close to the data and don’t overcomplicate it, you’ll be fine.
Most people just won’t do that.
Thank you for reading!
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